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contribute to the preparation of reports, manuscripts, and other written outputs. Requirements for both posts are: PhD in Nutrition, Epidemiology, Statistics. Expertise in data analysis: nutritional biomarkers
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. The technician will work closely with the PhD students and postdocs in the Tucker lab to aid their experiments and allow smooth running of the lab. Experience in mouse work is essential and an active Home Office
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
the DigiTREAT project (PEPR Digital Health), which aims to model the progression of rheumatoid arthritis and its evolution in the presence of drug treatment. As part of this project, the postdoctoral researcher
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laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science, Robotics, Mechatronics
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development, data analysis, manuscript writing, research presentation at conferences, and assistance with grant applications. Initial funding is for two years with a potential second, two-year appointment based
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Argonne National Laboratory invites applications for a Postdoctoral Researcher position in Superconducting Detector Development and CMB Instrumentation. This role focuses on advancing large arrays
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Protection and the Prehistory of Planetary Health¿, which is funded by a Wellcome Trust Career Development Award and hosted in the Department of History. Conserving Global Health is led by the Principal
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to the development and demonstration of ferroelectric spin–orbit (FESO) devices based on two-dimensional electron gases (2DEGs) in BaTiO3. The project aims to explore a novel platform for ultralow-power electronic
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/Translational Science and mentorship of the NIH/NCI F30 Predoctoral MD/PhD Fellowship awardee. The selected candidate will receive personalized mentorship in career development planning, preparation
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reconstructions from classes [1,2]. This postdoctoral position will primarily focus on the development of AI tools to accelerate MDSPACE, enabling rapid atomic-scale determination of complete conformational